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Remote Sql Developer Data Analyst Jobs in Iowa (NOW HIRING)

Salary range: $100,003-120,000 plus 10% bonus Remote hires will be required to travel to our ... SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses

Salary range: $100,003-120,000 plus 10% bonus Remote hires will be required to travel to our ... SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses

SQL Tutor

Ames, IA · Remote

$40/hr

... data analysis, database administration, and software development careers. * Conceptual Teaching ... data engineering workflows. * Curriculum Awareness & Adaptive Instruction: Familiar with SQL ...

SQL Tutor

Iowa City, IA · Remote

$40/hr

... data analysis, database administration, and software development careers. * Conceptual Teaching ... data engineering workflows. * Curriculum Awareness & Adaptive Instruction: Familiar with SQL ...

Associate Data Engineer

Urbandale, IA · On-site +1

$108K - $130K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital ... Develop and manage analytics-ready data models using lakehouse and dimensional modeling patterns ...

Associate Data Engineer

Urbandale, IA · On-site +1

$108K - $130K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital ... Develop and manage analytics-ready data models using lakehouse and dimensional modeling patterns ...

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Remote Sql Developer Data Analyst information

How do Remote SQL Developer Data Analysts typically collaborate with team members despite working offsite?

Remote SQL Developer Data Analysts often collaborate with colleagues through virtual meetings, shared documentation platforms, and project management tools. Regular communication with data engineers, business analysts, and stakeholders is essential for aligning on project goals and ensuring data accuracy. Many teams use tools like Slack, Microsoft Teams, or Jira to facilitate real-time updates, code reviews, and feedback loops. Establishing clear communication protocols and maintaining transparency about progress and blockers are key to successful remote collaboration in this role.

What are Remote SQL Developer Data Analysts?

Remote SQL Developer Data Analysts are professionals who work primarily with SQL databases to collect, process, and analyze data, all while working from a remote location. Their responsibilities include designing queries, creating reports, optimizing database performance, and translating data into actionable insights for businesses. They collaborate with teams virtually to support decision-making and often utilize tools like SQL Server, MySQL, or PostgreSQL. This role combines technical database skills with analytical thinking and effective communication to solve business problems from anywhere.

What are the key skills and qualifications needed to thrive as a Remote SQL Developer Data Analyst, and why are they important?

To thrive as a Remote SQL Developer Data Analyst, you need a strong grasp of SQL programming, data modeling, and analytical problem-solving skills, usually supported by a degree in computer science, information systems, or a related field. Familiarity with database platforms (like MySQL, SQL Server, or PostgreSQL), data visualization tools (such as Tableau or Power BI), and relevant certifications (e.g., Microsoft Certified: Data Analyst Associate) is highly valuable. Excellent communication, self-motivation, and attention to detail are key soft skills for remote collaboration and translating data into actionable insights. These skills and qualities are crucial for efficiently extracting, analyzing, and presenting data to support informed business decisions in a distributed work environment.

What is the difference between Remote Sql Developer Data Analyst vs Data Engineer?

AspectRemote Sql Developer Data AnalystData Engineer
Required CredentialsBachelor's in CS, Data Analysis certifications, SQL proficiencyBachelor's or higher in CS or related field, SQL, Python, cloud certifications
Work EnvironmentRemote or on-site, business or tech companiesRemote or on-site, tech companies, data-centric organizations
Employer & Industry UsageBusiness intelligence, finance, healthcareTech firms, data platforms, large enterprises
Common Search & ComparisonYesYes

The Remote Sql Developer Data Analyst primarily focuses on analyzing data, creating reports, and managing SQL databases to support business decisions. Data Engineers build and maintain data pipelines, infrastructure, and architecture to enable data collection and processing at scale. While both roles require SQL skills and often overlap in data handling, Data Engineers typically work on the technical infrastructure, whereas Data Analysts interpret data for insights.

What are the most commonly searched types of Sql Developer Data Analyst jobs in Iowa? The most popular types of Sql Developer Data Analyst jobs in Iowa are:
What are popular job titles related to Remote Sql Developer Data Analyst jobs in Iowa? For Remote Sql Developer Data Analyst jobs in Iowa, the most frequently searched job titles are:
What cities in Iowa are hiring for Remote Sql Developer Data Analyst jobs? Cities in Iowa with the most Remote Sql Developer Data Analyst job openings:
Principal Data Analyst

Principal Data Analyst

Mom's Meals

Ankeny, IA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Mom's Meals rating

6.2

Company rating: 6.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

14th of 22 rated food delivery companies


Job description

The Principal Data Analyst is a senior, hands-on analytics leader who turns complex, cross-functional data into clear, actionable insights that drive business outcomes as a consultative partner. This role sets the bar for analytical rigor, designs enterprise-grade BI assets, mentors analysts, and partners with business, engineering, and governance to improve decision quality and operational performance. Work emphasizes advanced analytics using Databricks, SQL, R, Power BI, Python, and the Azure data stack.
Salary range: $100,003-120,000 plus 10% bonus
Remote hires will be required to travel to our headquarters in Ankeny, IA (company paid) on their first day for orientation.
At this time, we are NOT considering applicants that require immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc.
Benefits
Our employees enjoy a generous package of benefits that we are thrilled to provide, and feel is part of what makes us different as an employer. We value our team members, and this is one way we can show it.
Benefits include:
-PTO, holiday pay and holiday of choice
-401(k) match
-Life insurance
-Short-term disability
-Health, dental and vision insurance
-Maternity/paternity leave
-Health savings account (HSA)
-Flex spending accounts (FSA) - health and dependent
Position Responsibilities may include, but not limited to
  • Lead high-impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives
  • Partner with business leaders to identify analytics opportunities and deliver actionable insights. Present findings and recommendations to partners and executive leadership in clear, compelling formats
  • Develop analytics products and solutions using Databricks, modern Business and Artificial Intelligence tools and Agile principles
  • Implement advanced analytics where applicable, leveraging Python for advanced analytics, automation, and integration with Databricks workflows
  • Architect and publish trusted Power BI datasets and dashboards (DAX, Power Query, semantic models), establishing standards for usability and adoption
  • Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses
  • Develop Python scripts for automation, data wrangling, and integration with Databricks and Azure services
  • Partner with Data Engineering on Azure data stack components (Data Factory, ADLS, Synapse/Fabric pipelines) for scalable data solutions
  • Own analysis quality: data validation, experiment/study design, sensitivity checks, and reproducibility (versioning, documentation)
  • Define and monitor KPIs; create executive scorecards and operational reporting that tie directly to business objectives
  • Coach/mentor analysts and BI developers; uplift storytelling, statistical thinking, and visualization craftsmanship across the team
  • Collaborate with Data Governance and Compliance to ensure appropriate use of PHI and adherence to privacy/security controls
  • Facilitate data stewardship and literacy across the business
  • Drive adoption of data products to scale data value
  • Stay current with emerging technologies and recommend enhancements to the analytics stack

Required Skills and Experience
  • Bachelor's degree in Data Science, Computer Science, Statistics, Economics or related field
  • 8-10+ years in analytics roles, including 3+ years leading projects
  • Proven impact delivering analytics in complex environments (multi-source data, ambiguous scope) with measurable business outcomes
  • Experience operating in healthcare data environments (or demonstrated ability to quickly adapt to such contexts)
  • Demonstrated ability to mentor junior analytics professionals
  • Statistical and financial analytics expertise with deep understanding of appropriate study design and analysis techniques and business case development
  • Azure Data Stack: Data Factory, ADLS, Synapse/Fabric pipelines; familiarity with security and governance features
  • Databricks: Spark/SQL, notebooks & jobs, performance tuning, SQL Warehouses
  • SQL: Strong proficiency (ANSI/T-SQL); query optimization over large, partitioned tables
  • R: Applied analytics using tidyverse/ggplot2; reproducible workflows; statistical testing and modeling fundamentals
  • Python: Data wrangling, automation, integration with Databricks and Azure services
  • Fabric and Power BI: Data modeling, DAX, Power Query (M), calculation groups, row-level security, deployment pipelines
  • Versioning & Reproducibility: Git-based workflows; disciplined documentation and peer review
  • Executive storytelling: distill and translate complex analyses into clear narratives and recommended actions or analytics solutions
  • Stakeholder partnership: influence cross-functional partners; set expectations and drive alignment
  • Demonstrated ability to deliver projects with undefined, large and/or complex scope
  • Agile delivery
  • Mentorship: develop analysts' craft (methodology, viz/design, communication)
  • Product mindset: define problem statements, success metrics, and iterate with feedback - drives adoption of analytics products and solutions
  • Ownership & judgment: operate independently, make sound trade-offs, and uphold high quality standards

Preferred Skills and Experience
  • Master's degree in Economics, Statistics, Data Science, Computer Science or related field
  • Certifications in Databricks, Power BI, or cloud platforms (Azure preferred)
  • Experience with machine learning frameworks and MLOps practices
  • Familiarity with data governance tools and compliance standards
  • Knowledge of advanced BI features (Power BI Copilot, AI-driven analytics)
  • Familiarity with healthcare risk adjustment models such as HCC and CDPS
  • Familiarity with claims groupers such as Milliman's HCG
  • Product management training or analytics product delivery experience

Physical Requirements
  • Repetitive motions that include the wrists, hands and/or fingers
  • Sedentary work that primarily involves sitting, remaining in a stationary position for prolonged periods
  • Visual perception to perform job including peripheral vision, depth perception, and the ability to adjust focus

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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